1 citations · 2 across the 6 of their papers we have counts for
8 papers
CAST-ASD: Causal Attention over Speakers and Time for Online Active Speaker Detection
Pratham Gupta, Haotian Qi, Tushar Sandhan +1
We present CAST-ASD (Causal Attention over Speakers and Time), a causal joint model for active speaker detection (ASD). Recent ASD models improve performance by jointly processing…
Multi-Task Visual Perception Network with LLM Conditioning for Autonomous Navigation
Praveen Kumar, K. R. Guruprasad, Tushar Sandhan
Long-term navigation for service robots faces crit- ical challenges like the accumulation of odometry drift and sensor error, which progressively degrade 2D maps and renders tradit…
Persona Jailbreaking in Large Language Models
Jivnesh Sandhan, Fei Cheng, Tushar Sandhan +1
Large Language Models (LLMs) are increasingly deployed in domains such as education, mental health and customer support, where stable and consistent personas are critical for relia…
CAPE: Context-Aware Personality Evaluation Framework for Large Language Models
Jivnesh Sandhan, Fei Cheng, Tushar Sandhan +1
Psychometric tests, traditionally used to assess humans, are now being applied to Large Language Models (LLMs) to evaluate their behavioral traits. However, existing studies follow…
Bin-picking of novel objects through category-agnostic-segmentation: RGB matters
Prem Raj, Sachin Bhadang, Gaurav Chaudhary +2
This paper addresses category-agnostic instance segmentation for robotic manipulation, focusing on segmenting objects independent of their class to enable versatile applications li…
Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka
Jivnesh Sandhan, Amruta Barbadikar, Malay Maity +5
Sanskrit poetry has played a significant role in shaping the literary and cultural landscape of the Indian subcontinent for centuries. However, not much attention has been devoted…
SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes
Jivnesh Sandhan, Anshul Agarwal, Laxmidhar Behera +2
We present a neural Sanskrit Natural Language Processing (NLP) toolkit named SanskritShala (a school of Sanskrit) to facilitate computational linguistic analyses for several tasks…
A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit
Jivnesh Sandhan, Ashish Gupta, Hrishikesh Terdalkar +4
The phenomenon of compounding is ubiquitous in Sanskrit. It serves for achieving brevity in expressing thoughts, while simultaneously enriching the lexical and structural formation…